Plugins
1 pluginResults for “search-quality”
8 skills
github qdrant-search-quality-diagnosis
Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.
36.2k
github qdrant-search-quality
Diagnoses and improves Qdrant search relevance by isolating embedding model, configuration, or query strategy issues.
36.2k
More results
github qdrant-search-strategies
Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.
36.2k
tools-only 103-sql-05f5e3f4
Guides database index selection, creation, and maintenance with SQL examples for PostgreSQL and MySQL.
7 · bundle
github qdrant-performance-optimization
Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.
36.2k
machenjie search-analytics-design
`analysis-agent`/`task-agent`/`review-agent`: use for search relevance, freshness, analytical grain, metrics, or rebuilds; skip bounded source queries and operational telemetry.
4 · bundle
jeffallan rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.
10.4k · bundle
orchestra-research sentence-transformers
Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.
10.4k · bundle